NTIRE 2019 challenge on video super-resolution: Methods and results

Seungjun Nah; Radu Timofte; Shuhang Gu; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son; Kyoung Mu Lee; Xintao Wang; Kelvin C.K. Chan; Ke Yu; Chao Dong; Chen Change Loy; Yuchen Fan; Jiahui Yu; DIng Liu; Thomas S. Huang; Xiao Liu; Chao Li; Dongliang He; Yukang DIng; Shilei Wen; Fatih Porikli; Ratheesh Kalarot; Muhammad Haris; Greg Shakhnarovich; Norimichi Ukita; Peng Yi; Zhongyuan Wang; Kui Jiang; Junjun Jiang; Jiayi Ma; Hang Dong; Xinyi Zhang; Zhe Hu; Kwanyoung Kim; Dong Un Kang; Se Young Chun; Kuldeep Purohit; A. N. Rajagopalan; Yapeng Tian; Yulun Zhang; Yun Fu; Chenliang Xu; A. Murat Tekalp; M. Akin Yilmaz; Cansu Korkmaz; Manoj Sharma; Megh Makwana; Anuj Badhwar; Ajay Pratap Singh; Avinash Upadhyay; Rudrabha Mukhopadhyay; Ankit Shukla; Dheeraj Khanna; A. S. Mandal; Santanu Chaudhury; Si Miao; Yongxin Zhu; Xiao Huo

doi:10.1109/CVPRW.2019.00250

NTIRE 2019 challenge on video super-resolution: Methods and results

Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, DIng Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang HeYukang DIng, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwanyoung Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo

Coordinated Science Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.

Original language	English (US)
Title of host publication	Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
Publisher	IEEE Computer Society
Pages	1985-1995
Number of pages	11
ISBN (Electronic)	9781728125060
DOIs	https://doi.org/10.1109/CVPRW.2019.00250
State	Published - Jun 2019
Event	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 - Long Beach, United States Duration: Jun 16 2019 → Jun 20 2019

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2019-June
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
Country/Territory	United States
City	Long Beach
Period	6/16/19 → 6/20/19

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Online availability

10.1109/CVPRW.2019.00250

Library availability

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Nah, S., Timofte, R., Gu, S., Baik, S., Hong, S., Moon, G., Son, S., Lee, K. M., Wang, X., Chan, K. C. K., Yu, K., Dong, C., Loy, C. C., Fan, Y., Yu, J., Liu, DI., Huang, T. S., Liu, X., Li, C., ... Huo, X. (2019). NTIRE 2019 challenge on video super-resolution: Methods and results. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 1985-1995). [9025527] (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2019.00250

NTIRE 2019 challenge on video super-resolution : Methods and results. / Nah, Seungjun; Timofte, Radu; Gu, Shuhang et al.

Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, 2019. p. 1985-1995 9025527 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nah, S, Timofte, R, Gu, S, Baik, S, Hong, S, Moon, G, Son, S, Lee, KM, Wang, X, Chan, KCK, Yu, K, Dong, C, Loy, CC, Fan, Y, Yu, J, Liu, DI, Huang, TS, Liu, X, Li, C, He, D, DIng, Y, Wen, S, Porikli, F, Kalarot, R, Haris, M, Shakhnarovich, G, Ukita, N, Yi, P, Wang, Z, Jiang, K, Jiang, J, Ma, J, Dong, H, Zhang, X, Hu, Z, Kim, K, Kang, DU, Chun, SY, Purohit, K, Rajagopalan, AN, Tian, Y, Zhang, Y, Fu, Y, Xu, C, Tekalp, AM, Yilmaz, MA, Korkmaz, C, Sharma, M, Makwana, M, Badhwar, A, Singh, AP, Upadhyay, A, Mukhopadhyay, R, Shukla, A, Khanna, D, Mandal, AS, Chaudhury, S, Miao, S, Zhu, Y & Huo, X 2019, NTIRE 2019 challenge on video super-resolution: Methods and results. in Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019., 9025527, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019-June, IEEE Computer Society, pp. 1985-1995, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, Long Beach, United States, 6/16/19. https://doi.org/10.1109/CVPRW.2019.00250

Nah S, Timofte R, Gu S, Baik S, Hong S, Moon G et al. NTIRE 2019 challenge on video super-resolution: Methods and results. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society. 2019. p. 1985-1995. 9025527. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW.2019.00250

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abstract = "This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.",

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ER -

NTIRE 2019 challenge on video super-resolution: Methods and results

Abstract

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